• DocumentCode
    2959722
  • Title

    Maintaining Stable Node Populations in Long-Lifetime Sensornets

  • Author

    Tate, Jonathan ; Bate, Iain

  • Author_Institution
    Dept. of Comput. Sci., Univ. of York, York, UK
  • fYear
    2010
  • fDate
    22-26 March 2010
  • Firstpage
    159
  • Lastpage
    168
  • Abstract
    Sensornets provide coverage of physical phenomena over extended periods, perhaps months or years. However, active nodes may deplete finite batteries within days, and are prone to failure. The sensornet application may require a given number of active nodes within each region to provide appropriate sensor redundancy and processing capacity. If many nodes are deployed, at any given time a smaller working set of the correct size can be selected for duty. In this paper we present a lightweight approach to active population management. An omniscient overview of network state is not required, and expensive communication activity is minimised. Probabilistic methods are employed, ensuring that individual nodes can make appropriate decisions using only locally available information.
  • Keywords
    sensor fusion; wireless sensor networks; active population management; long lifetime sensornets; stable node population; Peer to peer computing; Protocols; Redundancy; Silicon; Sleep; Synchronization; Wireless communication; energy; population management; probabilistic methods; sensornets; state management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering of Complex Computer Systems (ICECCS), 2010 15th IEEE International Conference on
  • Conference_Location
    Oxford
  • Print_ISBN
    978-1-4244-6638-2
  • Electronic_ISBN
    978-1-4244-6639-9
  • Type

    conf

  • DOI
    10.1109/ICECCS.2010.36
  • Filename
    5628616